AI Articles and Analysis about Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.

Artificial Intelligence at Elevance Health-1-min

Artificial Intelligence at Elevance Health

Elevance Health is a health insurance provider headquartered in Indianapolis, Indiana. It was founded 20 years ago as a merger between Anthem and Wellpoint Health Networks. The company offers medical, dental, pharmaceutical, behavioral health, and long-term care plans.

IT for Financial Services in the Age of GenAI-min

IT for Financial Services in the Age of GenAI – with Craig Mackereth of Rimini Street

Dozens of GPT-driven products are already on the market, and hundreds more are in development. These tools collectively aim to revolutionize traditional roles and processes, transforming them into dynamic, parallelized workflows using variants of LLM models, such as AutoGPT. Tools like GitHub Copilot, powered by OpenAI's Codex, are demonstrating significant improvements in developer productivity, with some studies showing up to a 55% increase in task completion speed. 

AI at Nationwide

Artificial Intelligence at Nationwide Insurance- Two Use Cases

Nationwide Mutual Insurance Company, commonly known as Nationwide, is a primary US insurance and financial services company headquartered in Columbus, Ohio.

Tires and Data Collection for Autonomous Vehicles-1

Tires and Data Collection for Autonomous Vehicles – with Chris Helsel of Goodyear

Technological advancements have contributed to an increase in more efficient and sustainable transportation solutions. Predictions made decades related to autonomous vehicles were wildly optimistic. The automated transportation industry might not align with those early predictions, but there have still been noteworthy developments. 

Adopting Generative AI in Healthcare Organizations-1-min

Adopting GenAI in Healthcare Organizations – with Prashant Natajaran of H2O.ai

As stakeholders in the life sciences and healthcare industries rush to adopt GenAI and integrate it into their projects and processes, they are walking a tightrope. GenAI will play a vital role in the future of healthcare in ways that we can hardly yet imagine; on the other hand, concerns like patient data privacy and potential inaccuracies have led many to take a cautious approach. 

Driving Responsible Approaches to AI through Operations and Development Workflows

Driving Responsible Approaches to AI Through Operations and Development Workflows – with Ranjan Sinha of IBM and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Driving Data Solutions and Governance in Procurement – v.3-1-min

Driving Data Solutions and Governance in Commodities Procurement – with Rupam Baijal of Algoma and Edmund Zagorin of Arkestro

This interview analysis is sponsored by Arkestro and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Artificial Intelligence
at Capital One-1

Artificial Intelligence at Capital One

Capital One, founded in 1994 and headquartered in McLean, Virginia, has become a prominent player in the financial services sector, mainly known for its credit card offerings, auto loans, banking, and savings accounts. With operations primarily spanning the United States, the company boasts a workforce of approximately 52,000 employees. As a technology-focused financial institution, Capital One is dedicated to leveraging cutting-edge innovations to enhance customer experience and streamline operations.

Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.